Linear Algebra 1 looked at when a linear operator on a finite dimensional vector space (such as R^3, i.e. 3 dimensional real space) was diagonalisable. In Linear Algebra 2 we complete this theory, by ...

Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

This is a 10-week bridge course that prepares students for the fundamentals of linear algebra as they are used in Applied Statistics courses.

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

Linear algebra is important for solving certain kinds of ODEs; it's hard to argue that doesn't involve calculus (although it's more getting linear algebra in your calculus than the other way around).

Tom Brown, Anthropic’s co-founder and former OpenAI engineer, went from earning a B- in linear algebra to shaping the AI frontier. His journey highlights five lessons for students and young ...

This Guy Learned Linear Algebra in Ten Days, And You Can Too At MIT you can take a ton of science classes online. And, in true MIT fashion, someone just did them all at an extraordinary speed ...